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--- |
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license: mit |
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base_model: naver-clova-ix/donut-proto |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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model-index: |
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- name: donut-proto-sroie |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# donut-proto-sroie |
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This model is a fine-tuned version of [naver-clova-ix/donut-proto](https://huggingface.co/naver-clova-ix/donut-proto) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9048 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 7.7533 | 1.0 | 73 | 7.3383 | |
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| 6.2747 | 2.0 | 146 | 5.8340 | |
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| 4.5766 | 3.0 | 219 | 4.4653 | |
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| 4.2866 | 4.0 | 292 | 3.6184 | |
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| 3.5846 | 5.0 | 365 | 3.3728 | |
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| 3.5065 | 6.0 | 438 | 3.2303 | |
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| 2.8412 | 7.0 | 511 | 3.1083 | |
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| 3.4091 | 8.0 | 584 | 3.0442 | |
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| 3.0191 | 9.0 | 657 | 3.0130 | |
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| 2.5351 | 10.0 | 730 | 2.9678 | |
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| 2.9271 | 11.0 | 803 | 2.9627 | |
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| 2.7935 | 12.0 | 876 | 2.9427 | |
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| 3.0205 | 13.0 | 949 | 2.9298 | |
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| 3.1783 | 14.0 | 1022 | 2.9204 | |
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| 3.0527 | 15.0 | 1095 | 2.9210 | |
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| 2.2231 | 16.0 | 1168 | 2.9251 | |
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| 2.1284 | 17.0 | 1241 | 2.9015 | |
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| 2.6874 | 18.0 | 1314 | 2.9099 | |
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| 2.5325 | 19.0 | 1387 | 2.9091 | |
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| 2.6132 | 20.0 | 1460 | 2.9048 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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